Records found: 9
'Hands-on tutorial: build an Agentic RAG pipeline that decides whether to retrieve, picks the right retrieval strategy, and synthesizes context-rich answers using embeddings and FAISS.'
'Hands-on tutorial for a full Gensim-based NLP pipeline: preprocessing, LDA topics, Word2Vec embeddings, TF-IDF similarity and semantic search, ready for Colab.'
'AWS launches Bedrock AgentCore Gateway, a managed service that automates converting APIs and Lambdas into MCP tools, adds dual-sided authentication, semantic tool discovery, and full observability to scale enterprise agent integrations.'
Google has launched gemini-embedding-001, a state-of-the-art multilingual text embedding model with flexible dimensionality, leading benchmark scores, and broad integration support for AI developers.
SciSummary uses advanced AI to transform lengthy scientific papers into quick, clear summaries, podcasts, and slideshows, helping researchers and students save time and understand research faster.
Alibaba's Qwen Team has released the Qwen3-Embedding and Qwen3-Reranker series, offering state-of-the-art open-source multilingual embedding and ranking models that outperform existing solutions.
Microsoft researchers have integrated DiskANN into Azure Cosmos DB to create a scalable, cost-efficient vector search system with low latency, improving semantic search capabilities within transactional databases.
This guide shows how to build a semantic search and question-answering system using Together AI embeddings, FAISS vector search, and LangChain, all in a modular and efficient pipeline.
LightOn AI has introduced GTE-ModernColBERT-v1, a powerful semantic search model capable of efficiently retrieving information from long documents while achieving top benchmark results.